Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs GPT-4.1 mini
GPT-4.1 mini has enough public results to be ranked (#240); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
DeepSeekSummary
- They share 2 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and GPT-4.1 mini in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 30.6.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 40.3 | 33.6 |
| Released | 2024-05-07 | 2025-04-14 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $1.60 |
| Results tracked | 10 | 47 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), GPT-4.1 mini: 30.6 (#293)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 48.9% |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| LMArena Coding | — | 1367 |
| BigCodeBench Complete | 59.4% | — |
| CadEval | — | 16% |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 33.3 (#55)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 10.8 (#340)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 135.01 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| LMArena Hard Prompts | — | 1349 |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LMCA | — | 21.1% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 24.1 (#270)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| Omni-MATH | — | 49.1% |
| LMArena Math | — | 1343 |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 34.7 (#194)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| GPQA (HELM) | — | 61.4% |
| LMArena Expert | — | 1338 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 35.8 (#82)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 45.7 (#166)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | — | 1318 |
| LMArena Chinese | — | 1329 |
| LMArena French | — | 1358 |
| LMArena German | — | 1351 |
| LMArena Japanese | — | 1290 |
| LMArena Korean | — | 1298 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1319 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 73.7 (#118)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| IFEval | — | 90.4% |
| LMArena Instruction Following | — | 1333 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 31.8 (#275)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| Fiction.LiveBench | — | 44.4% |
| LMArena Longer Query | — | 1344 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, GPT-4.1 mini: 48.6 (#199)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1300 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |
| LMArena Multi-Turn | — | 1354 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than GPT-4.1 mini?
GPT-4.1 mini has enough public results to be ranked (#240); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or GPT-4.1 mini better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 30.6 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and GPT-4.1 mini share?
2 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and GPT-4.1 mini has 47.